瓷砖表面凹坑缺陷检测方法、系统及存储介质
By fusing and filtering color and black-and-white images of the tile surface, the pit defect area is extracted and identified, solving the problem of difficult identification of pit defects on the tile surface and achieving efficient defect detection.
CN116843640BActive Publication Date: 2026-07-17ANGSHI INTELLIGENT SHENZHEN CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ANGSHI INTELLIGENT SHENZHEN CO LTD
- Filing Date
- 2023-06-27
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Pits on the surface of tiles are not obvious in images, making manual inspection inefficient and prone to omissions and errors, and difficult to perform quality statistics and evaluation.
Method used
By acquiring color and black-and-white images of the tile surface, image fusion and processing are performed to extract suspicious areas and perform grayscale filtering. Mean filtering, dynamic threshold segmentation, connected component segmentation, and dilation processing are used to determine the pit defect area.
Benefits of technology
It improves the accuracy of identifying pit defects, avoids missed and false detections, and simplifies the quality assessment process.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN116843640B_ABST
Abstract
本发明公开了一种瓷砖表面凹坑缺陷检测方法、系统及存储介质中，该方法包括以下步骤：当目标瓷砖进入采集区域时，获取目标瓷砖的表面的第一彩色图像、第二彩色图像和黑白图像；对第一彩色图像和第二彩色图像进行图像融合，以获得融合图像；获取黑白图像上的黑白瓷砖区域，从融合图像中裁剪与黑白瓷砖区域对应的融合瓷砖区域，以获得瓷砖图像；在瓷砖图像上提取若干可疑区域，并对每个可疑区域进行灰度过滤，以获得瓷砖图像上的缺陷区域。该方法对彩色图像进行图像融合处理，使瓷砖表面的凹坑缺陷在图像上的对比度更加明显，有利于缺陷的识别；还通过对瓷砖图像上的可疑区域进行灰度过滤筛选得到缺陷区域，避免缺陷被漏检或错检。
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